A Practical Guide to Data Mining for Business and Industry:
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Somerset
Wiley
2014
|
| Ausgabe: | 1st ed |
| Schlagworte: | |
| Beschreibung: | Description based on publisher supplied metadata and other sources |
| Beschreibung: | 1 online resource (325 pages) |
| ISBN: | 9781118763377 9781119977131 |
Internformat
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Datensatz im Suchindex
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| any_adam_object | |
| author | Ahlemeyer-Stubbe, Andrea |
| author_facet | Ahlemeyer-Stubbe, Andrea |
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| dewey-tens | 000 - Computer science, information, general works |
| discipline | Informatik |
| edition | 1st ed |
| format | Electronic eBook |
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| illustrated | Not Illustrated |
| indexdate | 2024-07-10T07:30:58Z |
| institution | BVB |
| isbn | 9781118763377 9781119977131 |
| language | English |
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| publishDateSort | 2014 |
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| spelling | Ahlemeyer-Stubbe, Andrea Verfasser aut A Practical Guide to Data Mining for Business and Industry 1st ed Somerset Wiley 2014 © 2012 1 online resource (325 pages) txt rdacontent c rdamedia cr rdacarrier Description based on publisher supplied metadata and other sources Marketing - Data processing Coleman, Shirley Sonstige oth Erscheint auch als Druck-Ausgabe Ahlemeyer-Stubbe, Andrea A Practical Guide to Data Mining for Business and Industry |
| spellingShingle | Ahlemeyer-Stubbe, Andrea A Practical Guide to Data Mining for Business and Industry Marketing - Data processing |
| title | A Practical Guide to Data Mining for Business and Industry |
| title_auth | A Practical Guide to Data Mining for Business and Industry |
| title_exact_search | A Practical Guide to Data Mining for Business and Industry |
| title_full | A Practical Guide to Data Mining for Business and Industry |
| title_fullStr | A Practical Guide to Data Mining for Business and Industry |
| title_full_unstemmed | A Practical Guide to Data Mining for Business and Industry |
| title_short | A Practical Guide to Data Mining for Business and Industry |
| title_sort | a practical guide to data mining for business and industry |
| topic | Marketing - Data processing |
| topic_facet | Marketing - Data processing |
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